Commonsense · Anthropic

Claude Haiku 4.5 Reasoning on HellaSwag: score, rank and what it means

Claude Haiku 4.5 Reasoning scores 90.9 on HellaSwag, placing it #64 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
90.9
0–100 scale
Rank
#64
of 600
Percentile
89th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
5.2
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Claude Haiku 4.5 Reasoning highlighted. Longer bars mean higher scores.

GPT-5.2 Max 96.1
GPT-5.2 Turbo 95.5
GPT-5.2 Pro 95.3
Claude Opus 4.5 Pro 95.2
Claude Sonnet 4.5 Reasoning 95.2
Grok 4 Reasoning 95.2
GPT-5.2 Vision 94.6
Gemini 3 Pro Turbo 94.6
GPT-5.1 Reasoning 94.4
o4 Pro 94.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
8 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
9 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
10 o4 Pro OpenAI 1000000 $19.37 87.3

What this score means

On HellaSwag, Claude Haiku 4.5 Reasoning sits at #64 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 5.2 points. The median model in this index scores 83.6, which puts Claude Haiku 4.5 Reasoning above the midpoint.

Anthropic models average 89.3 on this benchmark. Claude Haiku 4.5 Reasoning is 1.6 points above that provider line, so it is a stronger result than the average Anthropic model.

Among multimodal models, the average is 86.8. Claude Haiku 4.5 Reasoning is 4.1 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 90.9 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.

Price context

At $15.11 per million input tokens, Claude Haiku 4.5 Reasoning is above the median input price of $4.00 across the 600 models scored on HellaSwag. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Gemini 3 Flash Max Google DeepMind 1000000 $17.43 85.0
Gemini 3 Pro Vision Google DeepMind 200000 $17.59 85.5
Claude 3.7 Sonnet Turbo Anthropic 200000 $15.56 82.3
o4 OpenAI 2000000 $17.74 85.4
Claude Haiku 4.5 Reasoning Anthropic 128000 $15.11 81.4
o3 Reasoning OpenAI 200000 $18.07 85.3
Gemini 2.5 Pro Vision Google DeepMind 200000 $14.91 82.0

Other benchmarks for Claude Haiku 4.5 Reasoning

BenchmarkScoreRankPercentileRelative
MMLU-Pro 83.4 96 84th
GPQA Diamond 74.6 150 75th
SWE-bench Verified 69.6 119 80th
HumanEval 88.7 61 90th
MATH-500 85.8 95 84th
AIME 2025 79.0 100 83th
LiveCodeBench 73.8 111 82th
IFEval 89.9 73 88th
TruthfulQA 82.5 116 81th
MMMU 76.7 117 81th
Arena Elo 1444.2 90 85th

FAQ

What score does Claude Haiku 4.5 Reasoning get on HellaSwag?

Claude Haiku 4.5 Reasoning scores 90.9 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Claude Haiku 4.5 Reasoning rank on HellaSwag?

It ranks #64 of 600 models, in the 89th percentile. The leader is GPT-5.2 Max at 96.1.

Is Claude Haiku 4.5 Reasoning good at HellaSwag?

Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.

How is the HellaSwag score calculated?

HellaSwag is a commonsense benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.

What does Claude Haiku 4.5 Reasoning cost?

Claude Haiku 4.5 Reasoning costs $15.11 per million input tokens and $70.05 per million output tokens.

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